<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Google Gemini on C.CUI's Log</title><link>https://cuicaihao.github.io/zh/tags/google-gemini/</link><description>Recent content in Google Gemini on C.CUI's Log</description><generator>Hugo</generator><language>zh-Hans</language><lastBuildDate>Mon, 24 Aug 2026 07:00:00 +1000</lastBuildDate><atom:link href="https://cuicaihao.github.io/zh/tags/google-gemini/index.xml" rel="self" type="application/rss+xml"/><item><title>揭示 AI 漏洞：大模型安全与越狱的挑战</title><link>https://cuicaihao.github.io/zh/posts/2026-08-24-unmasking-ai-vulnerabilities-the-challenge-of-llm-safety-and-jailbreaking/</link><pubDate>Mon, 24 Aug 2026 07:00:00 +1000</pubDate><guid>https://cuicaihao.github.io/zh/posts/2026-08-24-unmasking-ai-vulnerabilities-the-challenge-of-llm-safety-and-jailbreaking/</guid><description>本文探讨了安全研究员 David Kuszmar 如何通过实验绕过 Google Gemini 等主流大模型的内容安全规则，使 AI 角色讨论违禁话题。文章深入分析了大模型安全规则的根本挑战，对比了 AI 的概率性判断与传统软件的确定性权限。它强调了在处理知识双重用途和防止模型越狱方面，需要多层防御而非仅仅依赖数据过滤。</description></item></channel></rss>